Different sufficient conditions for stochastic comparisons between random vectors have been described in the literature. In particular, conditions for the comparison of random vectors having the same copula, i.e., the same dependence structure, may be found in Müller and Scarsini (2001). Here we provide conditions for the comparison, in the usual stochastic order sense and in other weaker stochastic orders, of two time transformed exponential bivariate lifetimes having different copulas. Some examples of applications are provided too.
Stochastic Comparisons for Time Transformed Exponential Models / Mulero, J; Pellerey, Franco; RODRIGUEZ GRIGNOLO, R.. - In: INSURANCE MATHEMATICS & ECONOMICS. - ISSN 0167-6687. - 46:(2010), pp. 328-333. [10.1016/j.insmatheco.2009.11.006]
Stochastic Comparisons for Time Transformed Exponential Models
PELLEREY, FRANCO;
2010
Abstract
Different sufficient conditions for stochastic comparisons between random vectors have been described in the literature. In particular, conditions for the comparison of random vectors having the same copula, i.e., the same dependence structure, may be found in Müller and Scarsini (2001). Here we provide conditions for the comparison, in the usual stochastic order sense and in other weaker stochastic orders, of two time transformed exponential bivariate lifetimes having different copulas. Some examples of applications are provided too.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2289436
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